{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T01:58:42Z","timestamp":1783994322536,"version":"3.55.0"},"reference-count":34,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T00:00:00Z","timestamp":1675036800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"Basic Science Research Program through the National Research Foundation of Korea (NRF)","doi-asserted-by":"publisher","award":["NRF-2022R1I1A3072355"],"award-info":[{"award-number":["NRF-2022R1I1A3072355"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>KubeEdge is an open-source platform that orchestrates containerized Internet of Things (IoT) application services in IoT edge computing environments. Based on Kubernetes, it supports heterogeneous IoT device protocols on edge nodes and provides various functions necessary to build edge computing infrastructure, such as network management between cloud and edge nodes. However, the resulting cloud-based systems are subject to several limitations. In this study, we evaluated the performance of KubeEdge in terms of the computational resource distribution and delay between edge nodes. We found that forwarding traffic between edge nodes degrades the throughput of clusters and causes service delay in edge computing environments. Based on these results, we proposed a local scheduling scheme that handles user traffic locally at each edge node. The performance evaluation results revealed that local scheduling outperforms the existing load-balancing algorithm in the edge computing environment.<\/jats:p>","DOI":"10.3390\/s23031522","type":"journal-article","created":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T04:58:25Z","timestamp":1675054705000},"page":"1522","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Local Scheduling in KubeEdge-Based Edge Computing Environment"],"prefix":"10.3390","volume":"23","author":[{"given":"Seong-Hyun","family":"Kim","sequence":"first","affiliation":[{"name":"School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6246-6218","authenticated-orcid":false,"given":"Taehong","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1109\/JIOT.2017.2767608","article-title":"Future Edge Cloud and Edge Computing for Internet of Things Applications","volume":"5","author":"Pan","year":"2017","journal-title":"IEEE Internet Things J."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"102882","DOI":"10.1016\/j.jnca.2020.102882","article-title":"Fog data management: A vision, challenges, and future directions","volume":"174","author":"Sadri","year":"2021","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1186\/s13677-021-00231-z","article-title":"Container orchestration on HPC systems through Kubernetes","volume":"10","author":"Zhou","year":"2021","journal-title":"J. Cloud Comput."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/MCC.2015.51","article-title":"Containerization and the PaaS Cloud","volume":"2","author":"Pahl","year":"2015","journal-title":"J. Cloud Comput."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"183879","DOI":"10.1109\/ACCESS.2020.3029583","article-title":"ElasticFog: Elastic Resource Provisioning in Container-Based Fog Computing","volume":"8","author":"Nguyen","year":"2020","journal-title":"IEEE Access"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2086","DOI":"10.1109\/TPDS.2021.3059447","article-title":"Joint task scheduling and containerizing for efficient edge computing","volume":"32","author":"Zhang","year":"2021","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"4228","DOI":"10.1109\/JIOT.2019.2939534","article-title":"KEIDS: Kubernetes-based energy and interference driven scheduler for industrial IoT in edge-cloud ecosystem","volume":"7","author":"Kaur","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1109\/MCOM.001.1900660","article-title":"Toward highly scalable load balancing in kubernetes clusters","volume":"58","author":"Nguyen","year":"2020","journal-title":"IEEE Commun. Mag."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Muddinagiri, R., Ambavane, S., and Bayas, S. (2019, January 27\u201328). Self-hosted kubernetes: Deploying Docker containers locally with minikube. Proceedings of the 2019 International Conference on Innovative Trends Advances Engineering and Technology (ICITAET), Shegoaon, India.","DOI":"10.1109\/ICITAET47105.2019.9170208"},{"key":"ref_10","unstructured":"Kubernetes (2022, September 18). Production-Grade Container Orchestration. Available online: https:\/\/kubernetes.io\/."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2937","DOI":"10.1007\/s11227-021-03982-3","article-title":"Kubernetes in IT administration and serverless computing: An empirical study and research challenges","volume":"78","author":"Mondal","year":"2022","journal-title":"J Supercomput."},{"key":"ref_12","unstructured":"KubeEdge (2022, September 18). Kubernetes Native Edge Computing Framework. Available online: https:\/\/kubeedge.io\/."},{"key":"ref_13","unstructured":"EdgeMesh (2022, September 18). As the Data Plane Component of the KubeEdge Cluster. Available online: https:\/\/github.com\/kubeedge\/edgemesh."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"150936","DOI":"10.1109\/ACCESS.2019.2947652","article-title":"Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog","volume":"7","author":"Tange","year":"2019","journal-title":"IEEE Access"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Xiong, Y., Sun, Y., Xing, L., and Huang, Y. (2018, January 25\u201327). Extend Cloud to Edge with KubeEdge. Proceedings of the 2018 IEEE\/ACM Symposium on Edge Computing (SEC), Bellevue, WA, USA.","DOI":"10.1109\/SEC.2018.00048"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1109\/MWC.004.2100038","article-title":"Kubeedge Wireless for Integrated Communication and Computing Services Everywhere","volume":"29","author":"Yang","year":"2022","journal-title":"IEEE Wirel. Commun."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/j.comnet.2004.12.001","article-title":"Wireless Mesh Networks: A Survey","volume":"47","author":"Akyildiz","year":"2005","journal-title":"Comput. Netw."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Zheng, Z., Luo, P., Li, Y., Luo, S., Jian, J., and Huang, Z. (2022, January 28). Towards lifelong thermal comfort prediction with KubeEdge-sedna: Online multi-task learning with metaknowledge base. Proceedings of the Thirteenth ACM International Conference on Future Energy Systems (e-Energy \u201922), New York, NY, USA.","DOI":"10.1145\/3538637.3538856"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.neunet.2019.01.012","article-title":"Part, Christopher Kanan, Stefan Wermter, Continual lifelong learning with neural networks: A review","volume":"113","author":"Parisi","year":"2019","journal-title":"Neural Netw."},{"key":"ref_20","unstructured":"(2022, September 18). KubeEdge\/Sedna, Overview of KubeEdge\/Sedna. Available online: https:\/\/github.com\/kubeedge\/sedna."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1591","DOI":"10.1109\/TPDS.2020.3046440","article-title":"Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms","volume":"32","author":"Han","year":"2021","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1109\/JPROC.2019.2921977","article-title":"Deep Learning with Edge Computing: A Review","volume":"107","author":"Chen","year":"2019","journal-title":"Proc. IEEE"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Mutichiro, B., Tran, M.-N., and Kim, Y.-H. (2021). QoS-Based Service-Time Scheduling in the IoT-Edge Cloud. Sensors, 21.","DOI":"10.3390\/s21175797"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Tran, M.-N., and Kim, Y. (2021). Named Data Networking Based Disaster Response Support System over Edge Computing Infrastructure. Electronics, 10.","DOI":"10.3390\/electronics10030335"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"11088","DOI":"10.1109\/JIOT.2021.3052082","article-title":"Resource Provisioning in Edge Computing for Latency-Sensitive Applications","volume":"8","author":"Abouaomar","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1093\/comjnl\/bxy043","article-title":"Dynamic Multi-level Auto-scaling Rules for Containerized Applications","volume":"62","author":"Taherizadeh","year":"2019","journal-title":"Comput. J."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"18966","DOI":"10.1109\/ACCESS.2022.3150867","article-title":"Traffic-Aware Horizontal Pod Autoscaler in Kubernetes-Based Edge Computing Infrastructure","volume":"10","author":"Phuc","year":"2022","journal-title":"IEEE Access"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Nguyen, Q.-M., Phan, L.-A., and Kim, T. (2022). Load-Balancing of Kubernetes-Based Edge Computing Infrastructure Using Resource Adaptive Proxy. Sensors, 22.","DOI":"10.3390\/s22082869"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Gupta, N., Anantharaj, K., and Subramani, K. (2020, January 25). Containerized Architecture for Edge Computing in Smart Home: A consistent architecture for model deployment. Proceedings of the 2020 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, Tamilnadu, India.","DOI":"10.1109\/ICCCI48352.2020.9104073"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Lee, S., Phan, L.-A., Park, D.-H., Kim, S., and Kim, T. (2022). EdgeX over Kubernetes: Enabling Container Orchestration in EdgeX. Appl. Sci., 12.","DOI":"10.3390\/app12010140"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Choi, H., Song, J., and Yi, K. (2018, January 21). Brightics-IoT: Towards Effective Industrial IoT Platforms for Connected Smart Factories. Proceedings of the 2018 IEEE International Conference on Industrial Internet (ICII), Seattle, WA, USA.","DOI":"10.1109\/ICII.2018.00024"},{"key":"ref_32","unstructured":"Libp2p (2022, September 18). A Modular Network Stack. Available online: https:\/\/libp2p.io\/."},{"key":"ref_33","unstructured":"Ford, B., Srisuresh, P., and Kegel, D. (2005, January 10\u201315). Peer-to-Peer Communication Across Network Address Translators. Proceedings of the annual conference on USENIX Annual Technical Conference (ATEC \u201905), Anaheim, CA, USA."},{"key":"ref_34","unstructured":"(2022, September 18). Hey, Tiny Program That Sends Some Load to a Web Application. Available online: https:\/\/github.com\/rakyll\/hey."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/3\/1522\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:19:51Z","timestamp":1760120391000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/3\/1522"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,30]]},"references-count":34,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2023,2]]}},"alternative-id":["s23031522"],"URL":"https:\/\/doi.org\/10.3390\/s23031522","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,30]]}}}